Two years after revamping its developer programs and pricing, X is expanding the closed beta of a pay-per-use plan for its API to more developers. The social network is accepting applications from ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

The main predictors for 30-day mortality in ICU patients with asthma were age, RR, RDW, urine output, anion gap, international normalized ratio, and heart rate. A machine learning (ML)-based model can ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Although we surveyed only one college, our results align with similar studies, providing an emerging picture of the technology’s use in higher education. Between December 2024 and February 2025, we ...

Furthermore, the XGB model demonstrated the most accurate calibration across all prediction windows, with values of 0.129, 0.136, 0.144, and 0.148, respectively. Additionally, decision curve analysis ...

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FLINT, Mich. (AP) — A procession of mothers wearing red sashes, pushing strollers and tending to toddlers made their way Friday to a little festival in Flint, Michigan, where families received diapers ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...